Data Scientist
Location: US, CA, San Francisco
Department: Engineering
Employment type: Full-time
Required experience: Mid-Senior level
Required education: Master's Degree
Industry: Internet
Function: Engineering

Company profile:
Making Quality Metrics ActionableWe are revolutionizing the way nurses, physicians and front line staff improve the quality of care. By eliminating silos along the care continuum, Dabo Health helps increase collaboration, strengthen performance and save lives.Dabo Health is an information platform that simplifies data into an intuitive and interactive design, and facilitates collaboration between all members of the care team.We are looking for enthusiastic and creative entrepreneurs who want to make the world a better place, love team collaboration in a “lean” environment, and enjoy a good quality of life.

Job description:
Dabo Health is looking for developers committed to saving lives. Dabo Health saves lives by providing hospitals the visibility into the quality of care they are delivering and enabling hospital staff to collaborate across disciplines to find new ways to improve delivery of care. Our team needs people who can tell stories with data and work with healthcare professionals to define a new standard of care for their patients. Dabo Health has partnered and is collaborating with Mayo Clinic, the worldwide leader in medical care and education, to develop the platform. Mayo Clinic has an equity stake in Dabo Health.Our team employs an Agile product development process based heavily on Extreme Programming. Dabo Health is not being built in a vacuum; feedback from regular user and usability testing is incorporated into weekly planning and informs product direction.This is your chance to join a great team at an early stage and influence all aspects of how the product is built, from technical decisions to software development processes. Your fingerprints will be all over the product and you will be an active collaborator in defining what should be built and how.This opportunity is available to senior and hands-on lead developers who want to work in San Francisco.

Requirements:
Hands-on experience as a data analyst working with large data sets.Graduate degree in a quantitative field: Mathematics, Economics, Engineering, Operations Research, Computer Science, or a related field.  Extremely strong quantitative and logical problem solving skills.Experience working with other data scientists from across multiple disciplines (Machine Learning, Applied Math, Statistics, Optimization, Economics/Econometrics).Strong ability to partner and be open-minded to exchange ideas with other functions.Proven ability to analytically build and support complex logic and algorithms.Experience working in a dynamic, fast paced, cross-functional environment. Ability to communicate effectively to technical and non-technical audiences. Deep knowledge of classical statistical methods, Bayesian analysis, machine learning and data mining; Expert knowledge of data mining tools Python, R, Matlab, etc., is required. Expert proficiency querying relational data bases with SQL and managing workload with distributed computing tools (Map/Reduce, Hadoop, Hive, etc.).Initiative and ability to seek and take responsibility. High attention to detail, data accuracy and quality of output.Hands on, results-driven who can work with extreme efficiency, excited to learn new things, forge new areas of understanding, and enable other teams to manifest them.

Benefits:
Health Insurance.Flexible time off policy; and we take pride in our work/life balance.Stocked fridge, snacks, italian coffee machine, and a kegerator.Great location.We value professional development.Competitive salary.Smart, passionate, and nice people.